Call For Papers

International Workshop on Big Data of Services

Collocated with 9th IEEE/ACM International Conference on Utility and Cloud Computing
December 6-9, 2016
Tongji University – Shanghai, China

Call for papers

With the popularity of mobile terminals, user social networks and large-scale services, a large amount of data is produced, such as trace logs, service QoS information and service invocation relationships, etc. The data produced by services usually has the characteristics of big data: high volume, high velocity and high variety. Data generated by services is so large and complex that traditional methods are difficult to handle it effectively. Therefore, to deal with the big data problem for services, new parallel computing techniques and new data mining algorithms are urgently required. The submitted manuscripts will be limited to 6 pages (IEEE Proceedings style: http://www.ieee.org/conferences_events/conferences/publishing/templates.html). Please use https://easychair.org/conferences/?conf=iwbds2016 to submit your papers.
The IWBDS will be held in conjunction with IEEE/ACM UCC in Shanghai, China in December, 2016 (http://computing.derby.ac.uk/ucc2016/). It provides a forum for researchers world-wide to present their latest work in service computing, data mining and parallel computing in the cloud, and to show how this research can be used to enable innovation.
Topics
We encourage submissions on theoretical as well as practical studies related to all aspects of services computing and big data. Topics of interests include, but are NOT limited to, the following categories:
• Service applications in the big data environment.
• Service clustering and recommendation in the big data environment.
• Service analysis in the big data environment.
• Experimental prototypes, testbeds, and case studies on big data services and applications.
• Big data service management
• Data processing, mining, fusion, storage, and management for big data services
• Big data analytics for services
• Social issues, user experience of big data services
• Parallel computing for big data services
• Quality of service in big data environment
Important dates
Paper Submissions Due: July 30, 2016
Notification of Acceptance: August 30, 2016
Early Registration Deadline: September 21, 2016